Interval-Valued Neutrosophic EDAS Method: An Application to Prioritization of Social Responsibility Projects

Abstract

Evaluation Based on Distance from Average Solution (EDAS) is one of the recently developed multi-criteria decision-making methods. It is similar to TOPSIS and VIKOR methods since it is based on distance measurements. However, EDAS method selects the best alternative based on the average solution rather than positive and negative ideal solutions. Its advantage lies in simplifying the calculation of distances to ideal solution and obtaining the final decision rapidly. In this chapter, ordinary fuzzy EDAS method is extended to interval-valued neutrosophic EDAS for reflecting decision makers’ views to the truthiness (T), falsity (F) and indeterminacy (I) for a fuzzy set simultaneously. The proposed method is applied to the prioritization of multi-criteria and multi-expert social responsibility projects and a sensitivity analysis is conducted to check the robustness of the given decisions. The weighted deneutrosophicated decision matrix is also compared with the crisp EDAS and crisp TOPSIS methods to check the validity of our method.